Save the date: On Thursday, 22nd of April Alberto De Lazzari, Chief Scientist at LARUS together with Kanji Uchino, Senior Manager at Fujitsu Labs of America will give you an overview of Galileo XAI and its harnessing to Combat Fraud in Fintech and Insurtech Sectors.
Moreover, fraud, especially its dynamic nature, is a major area of concern requiring significant time and resources to isolate from an enormous volume of transaction data. We have developed an innovative new composite AI based solution that combines graph-rule-based with graph-supervised-learning coupled with explainability to address this problem. Starting from our strong partnership, we’ll talk about LARUS solution GALILEO XAI, an insight graph data-platform based on eXplainable AI and powered by Fujitsu Deep Tensor. By exploiting the connectedness of data and extracting new indicators based on the structure of the graph, the solution enabled the anti-fraud team to focus only on relevant groups of subjects or entities reducing the set of false positives. Furthermore these indicators are seamlessly used by Deep Tensor to constantly improve the results.
The event will be in both Japanese and English languages, so don’t miss this fantastic opportunity to learn more about AI and its explainability applied to graphs and how it can help the Fintech and Insurtech business sectors!
This is for LARUS and Fujitsu Labs of America another important milestone to strengthen their partnership, this time in the Fujitsu home country.
Here is the link to subscribe: bit.ly/Neo4jTokyoMeetup